CN104935446B - The network quality appraisal procedure and device excavated based on confidence level - Google Patents
The network quality appraisal procedure and device excavated based on confidence level Download PDFInfo
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Abstract
The present invention relates to information technology fields.The embodiment of the invention discloses a kind of network quality appraisal procedure excavated based on confidence level and devices, it is evaluated at current time for the current Quality of target network the described method includes: obtaining each of at least two user equipmenies user equipment respectively, and obtains at least two historical junctures of each of at least two user equipment user equipment before current time respectively for the history quality evaluation of target network；The current composite evaluation of estimate of the target network is obtained according to current Quality evaluation and history quality evaluation.Network quality how is evaluated when can solve the problems, such as that different user devices have differences same target network quality evaluation using technical solution provided in an embodiment of the present invention, and can inhibit different user devices network quality made by synchronization evaluation variation and interfered to the accuracy bring that network quality is assessed greatly very much.
Description
Technical field
The present invention relates to information technology fields, more particularly to a kind of network quality appraisal procedure excavated based on confidence level
And device.
Background technique
In the wireless network, the assessment of network quality is extremely important, and the assessment of network quality is directly related to user equipment
Experience, it is also closely related with the investment of operator.Therefore, accurately evaluation network quality for operator and user equipment and
Speech is of great significance.
The mode of Evaluation: Current quality of wireless network can generally assess network quality by parameters such as Network Call-drop Rates, and
The result that this mode is assessed often differs larger with the experience of user equipment.
Above-mentioned prior art when assessing network quality, often use the same time obtain single sample or
For person's a few sample as Appreciation gist, the single or a few sample that the same time obtains will cause accuracy not as Appreciation gist
Height, because in the prior art scheme, target network environment and number of user equipment can be with time changes, this will lead to difference
The network parameter of user equipment reflection is actually inconsistent.
Therefore the network quality assessment accuracy of the network quality of prior art evaluation is insufficient.
Summary of the invention
The application mainly solving the technical problems that provide it is a kind of based on confidence level excavate network quality appraisal procedure and
Device is asked with solving how to evaluate network quality when different user devices have differences same target network quality evaluation
Topic, and can inhibit the standard that the evaluation variation of different user devices network quality made by synchronization is assessed to network quality greatly very much
True property bring interference.
First aspect provides a kind of network quality appraisal procedure excavated based on confidence level, this method comprises: obtaining respectively
Each of at least two user equipmenies user equipment is evaluated at current time for the current Quality of target network, and respectively
At least two historical junctures of each of at least two user equipmenies user equipment before current time are obtained for mesh
Mark the history quality evaluation of network；The current composite evaluation of target network is obtained according to current Quality evaluation and history quality evaluation
Value.
With reference to first aspect, under the first possible implementation of first aspect, it is described according to current Quality evaluation and
History quality evaluation obtain target network current composite evaluation of estimate include: by iterative manner solve it is following minimize formula come
Obtain the current composite evaluation of estimate of target network:
Wherein, K is the set of user equipment, and O is the set of target network,It is k-th of user equipment to o-th of mesh
The current Quality evaluation of network is marked,For the current composite evaluation of estimate of o-th of target network,For o-th target network
The convergency value of history quality evaluation,By judging that the variation tendency of history quality evaluation over time obtains, α is to use
The history quality of family equipment setting evaluates Dynamic gene, and wk is the evaluation weight of k-th of user equipment, and root after each iteration
It is adjusted according to the confidence level of k-th of user equipment, dis(a, b) it is difference function, a and b are the substitution variable of difference function, a
Difference between b is bigger, dis(a, b) value is bigger.
With reference to first aspect, any one of possible implementation of the first of first aspect, may be real at second
It is described to obtain each of at least two user equipmenies user equipment respectively at current time for target network in existing mode
Current Quality evaluation, and obtain each of at least two user equipmenies user equipment respectively before current time extremely
Few two historical junctures are evaluated for the history quality of target network, comprising: obtain respectively every at least two user equipmenies
Network quality parameters of one user equipment at current time under target network；Network quality parameters are carried out with pre-defined algorithm
Processing generates current Quality evaluation；Obtain respectively each of at least two user equipmenies user equipment current time it
At least two preceding historical junctures are evaluated for the history quality of target network.
The possible implementation of second with reference to first aspect, under the third possible implementation, network quality parameters
Including chip energy/jamming power density, received signal code power and/or terminal transmission power.
With reference to first aspect, the first of first aspect is any one of to the third possible implementation, at the 4th kind
Under possible implementation, this method further include: determine that at least two user equipmenies experience evaluation of estimate in the rate of target network；It will
Rate experience evaluation of estimate is compared with current composite evaluation of estimate, to verify to current composite evaluation of estimate.
The 4th kind of possible implementation with reference to first aspect determines at least two under the 5th kind of possible implementation
A user equipment experiences evaluation of estimate in the rate of target network, comprising: obtains each of at least two user equipmenies user
Equipment uses the use duration of flow caused by business datum and business datum under target network, according to flow and use
Business experience rate of at least two user equipment of duration calculation under target network；Rate body is obtained according to business experience rate
Test evaluation of estimate.
Second aspect, the embodiment of the present invention also provide a kind of network quality assessment device excavated based on confidence level, comprising:
Quality evaluation obtains module, evaluates at current time for the current Quality of target network for obtaining at least two user equipmenies
And at least two historical junctures before current time are evaluated for the history quality of target network；Current composite evaluation of estimate obtains
Modulus block, for obtaining the current composite evaluation of estimate of target network according to current Quality evaluation and history quality evaluation.
In the first possible implementation of the second aspect, current composite evaluation of estimate obtains module for passing through iteration
Mode solves following minimum formula to obtain the current composite evaluation of estimate of target network:
Wherein, K is the set of user equipment, and O is the set of target network,It is k-th of user equipment to o-th of target
The current Quality of network is evaluated,For the current composite evaluation of estimate of o-th of target network,For going through for o-th target network
The convergency value of history quality evaluation,By judging that the variation tendency of history quality evaluation over time obtains, α is to use
The history quality of family equipment setting evaluates Dynamic gene, and wk is the evaluation weight of k-th of user equipment, and root after each iteration
It is adjusted according to the confidence level of k-th of user equipment, dis(a, b) it is difference function, a and b are the substitution variable of difference function, a
Difference between b is bigger, dis(a, b) value is bigger.
In conjunction with any one of possible implementation of the first of second aspect and second aspect, quality evaluation obtains mould
Block for obtaining network of each of at least two user equipmenies user equipment at current time under target network respectively
Mass parameter is handled network quality parameters with pre-defined algorithm, generates current Quality evaluation, is obtained at least two respectively and is used
At least two historical junctures of each of the family equipment user equipment before current time are directed to the history matter of target network
Amount evaluation.
In conjunction with second of possible implementation of second aspect, in the third possible implementation, network quality
Parameter includes chip energy/jamming power density, received signal code power and terminal transmission power.
In conjunction with second aspect, second aspect first any one of to the third possible implementation, at the 4th kind
In possible implementation, which further includes authentication module, and authentication module includes: rate experience evaluation of estimate acquiring unit, is used
In determine at least two user equipmenies target network rate experience evaluation of estimate；Comparison module is evaluated for experiencing rate
Value is compared with current composite evaluation of estimate, to verify to current composite evaluation of estimate.
In a fifth possible implementation of the second aspect, authentication module is set specifically for obtaining at least two users
When each of standby user equipment uses the use of flow and business datum caused by business datum under target network
Long, according to flow and using at least two user equipment of duration calculation under target network business experience rate；And according to industry
Business experience rate obtains rate and experiences evaluation of estimate.
It is in contrast to the prior art, embodiment of the present invention is by obtaining at least two user equipmenies to target network
At least two historical junctures of current Quality evaluation and at least two user equipment before current time are for described
The history quality of target network is evaluated, and obtains the target network according to current Quality evaluation and history quality evaluation
The current composite evaluation of estimate of network, due to being evaluated as foundation with history quality, and due to consideration that at least two historical junctures go through
History quality evaluation, therefore can fully consider network quality changed factor at any time, while can inhibit different user devices
The network quality evaluation variation of target network is interfered to the accuracy bring that network quality is assessed greatly very much.
Detailed description of the invention
Fig. 1 is the flow chart for the network quality appraisal procedure first embodiment excavated the present invention is based on confidence level；
Fig. 2 is the flow chart for the network quality appraisal procedure second embodiment excavated the present invention is based on confidence level；
Fig. 3 is the apparatus structure signal for the network quality assessment device first embodiment excavated the present invention is based on confidence level
Figure；
Fig. 4 is that another apparatus structure for the network quality assessment device first embodiment excavated the present invention is based on confidence level shows
It is intended to；
Fig. 5 is the apparatus structure signal for the network quality assessment device second embodiment excavated the present invention is based on confidence level
Figure.
Specific embodiment
It is an object of the invention to be directed to the defect of traditional network quality evaluation mode, the net excavated based on confidence level is provided
Network method for evaluating quality and device, the problems of to overcome in a manner of traditional network quality evaluation.
The present invention is at current time with reference at least two user equipmenies in the current Quality evaluation of target network and history
The network quality of target network is assessed in quality evaluation, is commented with solving different user devices to same target network quality
Estimate the problem of how evaluating network quality when having differences, and can inhibit different user devices network matter made by synchronization
Amount evaluation variation is interfered to the accuracy bring that network quality is assessed greatly very much.
Referring to Figure 1, Fig. 1 is the process for the network quality appraisal procedure first embodiment excavated the present invention is based on confidence level
Figure, as shown in Figure 1, the present invention is based on confidence level excavate network quality appraisal procedure include:
Step 101: obtaining each of at least two user equipmenies user equipment respectively at current time for target
The current Quality of network is evaluated, and obtains each of at least two user equipment user equipment respectively at current time
At least two historical junctures before are evaluated for the history quality of the target network.
Step 102: the current of the target network is obtained according to current Quality evaluation and history quality evaluation
Comprehensive evaluation value.
Optionally, in a step 102, it can be solved by iterative manner and minimize formula to obtain the target network
The current composite evaluation of estimate.
Minimize formula specifically:
Wherein, K is the set of the user equipment, and O is the set of the target network,For k-th of user equipment pair
The current Quality evaluation of o-th of target network,For the current composite evaluation of estimate of o-th of target network,For o-th of mesh
The convergency value for marking the history quality evaluation of network indicates the variation tendency of the history quality evaluation of o-th of target network,Can be by judging that the variation tendency of history quality evaluation over time obtains, α is the history matter of user equipment setting
Amount evaluation Dynamic gene, wk are the evaluation weight of k-th of user equipment, and after each iteration according to k-th user equipment
Confidence level is adjusted, dis(a, b) it is difference function, a and b are the substitution variable of difference function, the difference between a and b
Bigger, the dis(a, b) value is bigger.
In a step 101, each of at least two user equipmenies user equipment is obtained respectively to be directed at current time
The current Quality evaluation of target network can specifically be accomplished by the following way: be obtained at least two user equipment respectively
Network quality parameters of each user equipment at current time under the target network；With pre-defined algorithm to the network
Mass parameter is handled, and the current Quality evaluation is generated.
For example, the network quality parameters may include chip energy/jamming power density, received signal code power with
And terminal transmission power.
In order to make those skilled in the art that the embodiment of the present invention be more clearly understood, below in conjunction with an application scenarios to this
Invention is made based on the network quality appraisal procedure first embodiment that confidence level is excavated and being illustrated.
Referring firstly to table 1.
Table 1:
Table 1 is shown when for time T being current time Time_5, and different user devices are got under different target network
Network quality parameters.Wherein, user equipment specifically can be with IMSI(International MobileSubscriber
Identification Number, international mobile subscriber EIC equipment identification code) it identifies, target network is with Cell ID(honeycomb mark
Knowledge number) mark.User equipment includes user equipment USER_1, user equipment USER_2, user equipment USER_3, user equipment
USER_4.Target network includes target network Cell_1, target network Cell_2, target network Cell_3.
Network quality parameters include Ec/Io(energy chip iterfere other, and chip energy jamming power is close
Degree), RSCP(Received Signal Code Power, received signal code power) and UE_Tx_Power terminal transmission function
Rate.
Wherein, the acquisition of network quality parameters can be achieved by the prior art:
Ec/Io is the chip energy of downlink pilot frequency channel than general power that upper UE is received.It reflects the interference of system
Level, it is related with the load of system.It measures downlink covering, and is the important criterion of handoff algorithms.It can be by UE without solution
Expand and directly measure, measures the Ec/Io of each cell in engineering with scanner (WCDMA Scanner), thus optimize and revise neighbour
Cell relations.
RSCP is some signal code power received on the physical channels such as DPCH, PRACH or PUSCH.In WCDMA
In RF optimization, if PCPICH uses transmitting diversity, UE carries out reception code power measurement to the transmitting antenna of each cell respectively,
And weighted sum is total reception code performance number.
UE_Tx_Power is the transmission power of UE, related with the distance apart from base station, if remote apart from base station, transmitting
For power with regard to big, close transmission power will be small, if UE, which is sent, slowly can not receive returning for RNC or core net after certain signaling
It is multiple, it interpret that RNC or core net do not receive signaling, the transmission power of oneself will be constantly improved, is guaranteed certainly
The content that oneself sends can reach RNC or core net, so the transmission power of mobile phone will constantly adjust raising.It is led by detection
Pilot tone can obtain UE_Tx_Power.
Target network quality Q c be according to chip energy jamming power density Ec/Io, received signal code power RSCP and
Terminal transmission power UE Tx Power is calculated by pre-defined algorithm.In table 1, the corresponding current Quality evaluation of different target network
Qc is not calculated temporarily, therefore is indicated with space character.
Table 2 is please referred to below.
Table 2:
The shown history that target network is directed to for 4 historical junctures of 3 user equipmenies before current time Time_5 of table 2
Quality evaluation, 4 historical junctures include historical juncture Time_1, historical juncture Time_2, historical juncture Time_3, historical juncture
Time_4, Time_1, historical juncture Time_2, historical juncture Time_3, historical juncture Time_4 are gradually close to current time
Time_5.Wherein, table 2 can be obtained from log (log) file.In embodiments of the present invention, above-mentioned user equipment and when history
The quantity at quarter is not limited to above-mentioned quantity, as long as guaranteeing is at least two.
Table 3 is please referred to below.
Table 3:
Table 3, which is shown, is handled network quality parameters with pre-defined algorithm, generated current Quality evaluation.It is wherein described
Pre-defined algorithm is represented by f(UE_Tx_Power, PSCP, ECIO), current Quality can be obtained according to following equation evaluate Qc=f
(UE_Tx_Power, PSCP, ECIO).
In embodiments of the present invention, pre-defined algorithm can be configured according to the actual situation, for example, can set above-mentioned three
Evaluation of estimate of the kind network quality parameters in certain threshold range, adds up three values, as the network quality is evaluated.
Such as setting terminal transmission power UE_Tx_Power emits function in first terminal transmission power threshold value and second terminal
It is evaluated as 1 between rate threshold value, being greater than this section is 2, and being less than this section is 0；Setting received signal code power RSCP exists
It is evaluated as 1 between first received signal code power threshold value and the second received signal code power threshold value, being greater than this section is 2,
It is 0 less than this section；Set chip energy jamming power density Ec/Io in the first chip energy jamming power density threshold and
It is evaluated as 1 between second chip energy interference power density threshold, being greater than this section is 2, and being less than this section is 0.Value
It obtains it is noted that first terminal transmission power threshold value and second terminal transmission power threshold value, the first received signal code power threshold value
It is close with the second received signal code power threshold value, the first chip energy jamming power density threshold and the second chip energy interference power
The specific value of degree threshold value can be set according to actual needs, and this is not limited by the present invention.
Therefore, by utilizing equation Qc=f(UE_Tx_Power, PSCP, ECIO) current Quality as shown in table 3 can be obtained
Evaluate the specific value of Qc.
Table 4 is please referred to below.
Table 4:
Table 4 is using target network Cell as dimension sorting table 3, and obtained target network current Quality evaluates table.
According to the evaluation of current Quality shown in table 4 and table 2 and history quality evaluation, using following iterative formula (1):
Operation is iterated to obtain current composite evaluation of estimate.
Specifically, above-mentioned formula (1) can be subjected to mathematic(al) manipulation, to obtain formula (2):
In formula (2),For the current composite evaluation of estimate of o-th of target network, wkFor the evaluation of k-th of user equipment
Weight, and be adjusted after each iteration according to the confidence level of k-th of user equipment, I (v, vko) be indicator function, if V with
VkoEqual, otherwise value 1 is 0.VkoUser equipment k is indicated to the specific evaluation of estimate of current network, V indicates every wheel iteration
Ideal value, vhistoryIt is the history quality evaluation of table 2, similarity() it is a user equipment custom function, for asking
Out closest to the value of history evaluation variation tendency.
According to above-mentioned formula, by the iterative calculation that user equipment multiple groups are evaluated, target network quality overall evaluationIt will
It can restrain.To obtain the current composite evaluation of estimate of target network Cell_1, Cell_2, Cell_3 respectively.
It will be detailed below iterative process, firstly, giving an account of the pre-defined algorithm to continue above calculates current Quality evaluation, and just
The weight of beginningization user equipment User_1, User_2, User_3 and User_4.Under normal conditions, each user equipment can be preset
Initial weight wk=1, i.e. w1=1, w2=1, w3=1, w4=1.
As shown in table 4, the current Quality of the user equipment User_1 and user equipment User_3 of target network Cell_1 are commented
Respectively there is primary, weight and equal in valence 3 and 5, is 1, but passes through the evaluation of history quality shown in table 2, it is known that Cell_1's
It is respectively 2,3,3 in the evaluation of each moment history quality, therefore may determine that the evaluation of its history quality over time
It to 3 convergences and then tends towards stability, i.e. the history quality of Cell_1 evaluates convergency valueAt this moment it is believed that target network
Cell_1 to 3 convergence, therefore obtain target network Cell_1 current time T_5 current composite evaluation of estimate be 3.
Target network Cell_2 current Quality evaluation 3 occur it is secondary, weight and be 2, current Quality evaluation 5 occur
Once, weight and be 1, obtain Cell_2 current time T_5 current composite evaluation of estimate be 3.
The current Quality of target network Cell_3 evaluates 3 and 5 evaluation weight and equal, and evaluation shown in reference table 2 is gone through
History table, the network quality of Cell_3 not oriented 3 or 5 restrain, therefore, in first time interative computation, temporarily cannot get
The evaluation at the T_5 moment of Cell_3.
Therefore first round iteration result shown in table 5 is obtained.
Table 5 is please referred to below.
Table 5:
Table 5 is shown after formula makes first round iteration, obtained first round iteration result.
According to the evaluation result that last round of iteration obtains, user equipment weight is updated.Have updated target network Cell_1 and
After the current composite evaluation of estimate of target network Cell_2, the evaluation result of user equipment User_1 and user equipment User_2 and work as
Preceding comprehensive evaluation value is consistent, and weight is constant.
According to table 5, in target network Cell_1 and target network Cell_2, user equipment User_3 is for target network
Cell_1, user equipment User_4 are for target network Cell_2 respectively once inconsistent evaluation, therefore user equipment User_
The confidence level of 3 and user equipment User_4 should be lower relative to user equipment User_1 and user equipment User_2.
With reference to evaluation history table (i.e. upper table 2), since target network Cell_1 is restrained to 3, it is believed that target network Cell_
1 stability is greater than target network Cell_2, therefore combines table 5, and the confidence level of user equipment User_3 is relative to user equipment
User_4 should be lower, thus the weight of user equipment User_3 should be adjusted so as to than user equipment User_4 it is lower.Then it obtains
Following updated weight:
w1=1,w2=1,w3=0.6,w4=0.8
Wherein, above-mentioned 0.6 and 0.8 equal numerical value are merely illustrative, and the decline rule of weight can be by practical application scene
Difference and choose.
Using updated weight, formula (2) are substituted into again and are iterated calculating, target network Cell_1's and Cell_2
The current composite evaluation of estimate at T_5 moment is still constant, target network Cell_3 because user equipment User_3 confidence level reduce,
Current Quality is evaluated as 5 weight and for 0.8, greater than the weight and 0.6 that current Quality is evaluated as 3, takes the maximum between the two
Value, obtain target network Cell_3 current time T_5 current composite evaluation of estimate be 5.Such as table 6.
Table 6:
Repeat above-mentioned interative computation, data shown in table 6 still can be obtained, therefore table 6 is that final current composite is commented
The convergence result of value.
In the present embodiment, by obtaining current Quality evaluation and at least two historical juncture needles before current time
History quality evaluation to target network, and the current comprehensive of target network is obtained according to current Quality evaluation and history quality evaluation
Evaluation of estimate is closed, due to being evaluated as foundation with history quality, and due to consideration that the history quality of at least two historical junctures is evaluated,
Therefore it can fully consider network quality changed factor at any time, while can inhibit different user devices to target network
Network quality evaluation variation is interfered to the accuracy bring that network quality is assessed greatly very much.
Fig. 2 is referred to below, and Fig. 2 is that the present invention is based on the network quality appraisal procedure second embodiments that confidence level is excavated
Flow chart, as shown in Fig. 2, the present invention is based on confidence level excavate network quality appraisal procedure include:
Step 201: obtaining each of at least two user equipmenies user equipment respectively at current time for target
The current Quality of network is evaluated, and obtains each of at least two user equipment user equipment respectively at current time
At least two historical junctures before are evaluated for the history quality of the target network.
Step 202: the current of the target network is obtained according to current Quality evaluation and history quality evaluation
Comprehensive evaluation value.
Optionally, in step 202, it can be solved by iterative manner and minimize formula to obtain the target network
The current composite evaluation of estimate.
Minimize formula specifically:
Wherein, K is the set of user equipment, and O is the set of target network,It is k-th of user equipment to o-th of mesh
The current Quality evaluation of network is marked,For the current composite evaluation of estimate of o-th of target network,For o-th of target network
History quality evaluation convergency value,By judging that the variation tendency of history quality evaluation over time obtains, α
Dynamic gene is evaluated for the history quality of user equipment setting, wk is the evaluation weight of k-th of user equipment, and in each iteration
It is adjusted afterwards according to the confidence level of k-th of user equipment, dis(a, b) become for difference function, a and b for the substitution of difference function
Amount, the difference between a and b is bigger, dis(a, b) value is bigger.
Step 203: determining that at least two user equipment experiences evaluation of estimate in the rate of the target network.
Step 204: rate experience evaluation of estimate being compared with the current composite evaluation of estimate, to described current
Comprehensive evaluation value is verified.When the two is consistent, step 206 is executed, when the two is inconsistent, executes step 205.
Step 205: the parameter minimized in formula being adjusted, interative computation is re-started.
Step 206: without being adjusted to the parameter minimized in formula, as a result by the current composite evaluation of estimate
Output.
The step 201 of the present embodiment is to 202 and the present invention is based on the network quality appraisal procedure first of confidence level excavation is real
It is completely the same to apply the content that example is introduced, the present embodiment further increases on the basis of first embodiment to be verified for model
Step 203 to 206.
Specifically, in step 203, determine at least two user equipmenies target network rate experience evaluation of estimate by with
Under type is realized: being obtained each of at least two user equipmenies user equipment and is produced under target network using business datum
The use duration of raw flow and business datum, according to flow and using at least two user equipment of duration calculation in target network
Business experience rate under network.
In the present embodiment, the business data packet according to user equipment under base station calculates the perception rate of user equipment
(i.e. business experience rate), to verify the correctness of iterative model.
Pass through the ratio of the various user equipmenies of various businesses under confirmation target network.And calculate various each user equipmenies
The business experience rate of main business (to use duration, flow etc. is as judgment criteria).So that it is determined that each user equipment
Business experience rate behavior, to judge rate experience evaluation of estimate (such as 80% http of 80% user equipment under target network
Service rate about 256Kbps thinks 3) rate experience evaluation of estimate is.
Further, in rate experience evaluation of estimate and inconsistent current composite evaluation of estimate, in step 205, Yong Hushe
It is standby to go to correct the customized part of user equipment in above-mentioned model, such as amendment according to actual experience according to network quality
Parameter obtains the pre-defined algorithm of current Quality evaluation, amendment weight decline rule etc..By above-mentioned model verification process, make
Acquired current composite evaluation of estimate is obtained closer to actual experience.
In the present embodiment, by obtaining current Quality evaluation and at least two historical juncture needles before current time
History quality evaluation to target network, and the current comprehensive of target network is obtained according to current Quality evaluation and history quality evaluation
Evaluation of estimate is closed, due to being evaluated as foundation with history quality, and due to consideration that the history quality of at least two historical junctures is evaluated,
Therefore it can fully consider network quality changed factor at any time, while can inhibit different user devices to target network
Network quality evaluation variation is interfered to the accuracy bring that network quality is assessed greatly very much.Also, it is commented by comparing rate experience
Value can make acquired current composite evaluation of estimate more connect with current composite evaluation of estimate to be adjusted to iterative formula
Nearly user equipment actual experience.
Fig. 3 is referred to below, and Fig. 3 is that the network quality excavated the present invention is based on confidence level assesses device first embodiment
Apparatus structure schematic diagram, as shown in figure 3, including that quality evaluation obtains the present invention is based on the network quality assessment device that confidence level is excavated
Modulus block 301 and current composite evaluation of estimate obtain module 302.
Quality evaluation obtains module 301, for obtaining each of at least two users user equipment respectively current
Moment is evaluated for the current Quality of target network, and obtains each of at least two user equipment user respectively and set
Standby at least two historical junctures before current time are evaluated for the history quality of the target network；Current composite evaluation
Value obtains module 302, for obtaining working as the target network according to current Quality evaluation and history quality evaluation
Preceding comprehensive evaluation value.Optionally, it is as follows specifically for solving by iterative manner to obtain module 302 for the current composite evaluation of estimate
Formula is minimized to obtain the current composite evaluation of estimate of the target network:
Wherein, K is the set of user equipment, and O is the set of target network,It is k-th of user equipment to o-th of target
The current Quality of network is evaluated,For the current composite evaluation of estimate of o-th of target network,For o-th target network
The convergency value of history quality evaluation,By judging that the variation tendency of history quality evaluation over time obtains, α is
The history quality of user equipment setting evaluates Dynamic gene, and wk is the evaluation weight of k-th of user equipment, and after each iteration
It is adjusted according to the confidence level of k-th of user equipment, dis(a, b) become for difference function, a and b for the substitution of difference function
Amount, the difference between a and b is bigger, dis(a, b) value is bigger.
And referred to incorporated by reference to Fig. 4, Fig. 4 is that the network quality excavated the present invention is based on confidence level assesses device first in fact
Another apparatus structure schematic diagram of example is applied, is specifically used for described in acquisition respectively extremely as shown in figure 4, quality evaluation obtains module 301
Each of few two user equipmenies network quality parameters of the user equipment at current time under the target network, with pre-
Determine algorithm to handle the network quality parameters, generates the current Quality evaluation, and obtain described at least two respectively
At least two historical junctures of each of user equipment user equipment before current time are for the target network
History quality evaluation.
Current composite evaluation of estimate obtains module 302, for being evaluated according to current Quality evaluation and the history quality
Obtain the current composite evaluation of estimate of the target network.
Optionally, network quality parameters include chip energy/jamming power density, received signal code power and terminal hair
Penetrate power.
In the present embodiment, which further includes authentication module 303 and comparison module 304, and the authentication module 303 is used
In determine at least two user equipmenies target network rate experience evaluation of estimate；
Comparison module 304, for rate experience evaluation of estimate to be compared with current composite evaluation of estimate, to current composite
Evaluation of estimate is verified.
Wherein, the authentication module 303 is set specifically for obtaining each of at least two user equipment user
The standby use duration that flow caused by business datum and the business datum are used under the target network, according to described
Business experience rate of at least two user equipmenies under the target network described in flow and use duration calculation；And according to institute
It states business experience rate and obtains the rate experience evaluation of estimate.
In the present embodiment, by obtaining current Quality evaluation and at least two historical juncture needles before current time
History quality evaluation to target network, and the current comprehensive of target network is obtained according to current Quality evaluation and history quality evaluation
Evaluation of estimate is closed, due to being evaluated as foundation with history quality, and due to consideration that the history quality of at least two historical junctures is evaluated,
Therefore it can fully consider network quality changed factor at any time, while can inhibit different user devices to target network
Network quality evaluation variation is interfered to the accuracy bring that network quality is assessed greatly very much.
Fig. 5 is referred to below, and Fig. 5 is that the network quality excavated the present invention is based on confidence level assesses device second embodiment
Apparatus structure schematic diagram, as shown in figure 3, the present invention is based on confidence level excavate network quality assessment device include processor 601,
Memory 602, network interface 603 and communication bus 604.Processor 601, memory 602, network interface 603 respectively with it is logical
Letter bus 604 is of coupled connections, to interact communication.
Wherein, communication bus 604 can be ISA for realizing the connection communication between these components, the communication bus 604
(Industry Standard Architecture, industry standard architecture) bus, PCI (Peripheral
Component, external equipment interconnection) bus or EISA(Extended Industry Standard Architecture, expand
Open up industry standard architecture) bus etc..The communication bus 604 can be one or more physical circuit, when being a plurality of object
Address bus, data/address bus, control bus etc. can be divided into when lineation road.In some other implementation of the invention, this hair
The modules that bright embodiment provides can not also be connected by way of bus, and directly be established according to signal transitive relation logical
Letter connection.
Network interface 603 is for realizing the connection communication between the physical host and network, for example the network interface 603 can
For connecting the equipment such as physical network card and/or physical switches.
Memory 602 may include high random access memory body (RAM, Random Access Memory), it is also possible to
It further include non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.Optionally, should
Memory 602 can also include that at least one is located remotely from the storage device of aforementioned processor 601.
In some embodiments, memory 602 stores following element, executable modules or data structures, or
Their subset of person or their superset:
Operating system 6021 includes various system programs, hardware based for realizing various basic businesses and processing
Task；
Application module 6022 includes various application programs, for realizing various applied business.
Network interface 603, for obtaining each of at least two user equipmenies user equipment respectively at current time
Network quality parameters under target network, and obtain each of at least two user equipment user equipment respectively and exist
At least two historical junctures before current time are evaluated for the history quality of the target network.
Memory 602, for storing program, the program be used for pre-defined algorithm to the network quality parameters at
Reason generates current Quality evaluation.
The program is also used to be evaluated according to the current Quality and history quality evaluation obtains the target network
Current composite evaluation of estimate.
Specifically, the program by iterative manner for that can solve the institute for minimizing formula to obtain the target network
State current composite evaluation of estimate.
Minimize formula specifically:
Wherein, K is the set of user equipment, and O is the set of target network,It is k-th of user equipment to o-th of target
The current Quality of network is evaluated,For the current composite evaluation of estimate of o-th of target network,For o-th target network
The convergency value of history quality evaluation, α are that the history quality of user equipment setting evaluates Dynamic gene, and wk is k-th of user equipment
Evaluation weight, and be adjusted after each iteration according to the confidence level of k-th of user equipment, dis(a, b) for difference letter
Number, a and b are the substitution variable of difference function, and the difference between a and b is bigger, dis(a, b) value is bigger.
Processor 601, for running above procedure.
Optionally, network quality parameters include chip energy/jamming power density, received signal code power and terminal hair
Penetrate power.
Optionally, which is further used for determining at least two user equipment in the rate body of the target network
Test evaluation of estimate；And be compared rate experience evaluation of estimate with the current composite evaluation of estimate, to the current composite
Evaluation of estimate is verified.
Wherein, network interface 603 is also particularly useful for each of at least two user equipmenies of acquisition user equipment in mesh
Mark the use duration under network using flow caused by business datum and business datum, the program be also used to according to flow and
Use business experience rate of at least two user equipment of duration calculation under target network；Speed is obtained according to business experience rate
Rate experiences evaluation of estimate.
In the present embodiment, by obtaining current Quality evaluation and at least two historical juncture needles before current time
History quality evaluation to target network, and solved in conjunction with above-mentioned parameter by iterative manner and minimize formula to obtain target network
The current composite evaluation of estimate of network fully considers network quality changed factor at any time, is evaluated and is obtained according to history quality
Current composite evaluation of estimate, while can inhibit different user devices to the network quality evaluation variation of target network too greatly to network matter
The accuracy bring interference of amount assessment.
It should be noted that all the embodiments in this specification are described in a progressive manner, between each embodiment
Same and similar part may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially
Its, for Installation practice and terminal embodiment, since it is substantially similar to the method embodiment, so describing to compare
Simply, the relevent part can refer to the partial explaination of embodiments of method.For example, the determination of the preset value and the prompt information
It can be with reference to described in previous embodiment.
By the description of embodiment of above, it is apparent to those skilled in the art that the embodiment of the present invention
The terminal can add the mode of required common hardware to realize by software, naturally it is also possible to include by specialized hardware
Specific integrated circuit, dedicated cpu, private memory, special components and parts etc. are realized.Under normal circumstances, all by computer program
The function of completion can be realized easily with corresponding hardware, moreover, being used to realize the particular hardware knot of same function
Structure is also possible to diversified, such as analog circuit, digital circuit or special circuit etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (12)
1. a kind of network quality appraisal procedure excavated based on confidence level, which is characterized in that the described method includes:
Each of at least two user equipmenies user equipment is obtained respectively works as antecedent for target network at current time
Amount evaluation, and at least two of each of at least two user equipment user equipment before current time are obtained respectively
A historical juncture is evaluated for the history quality of the target network；
The current composite evaluation of estimate of the target network is obtained according to current Quality evaluation and history quality evaluation；
Wherein, the current composite that the target network is obtained according to current Quality evaluation and history quality evaluation
Evaluation of estimate includes:
Acquisition evaluates the current composite of between the first difference degree and the second difference degree the and the smallest target network
Value, wherein first difference degree is to work as antecedent to described in the current composite evaluation of estimate and each user equipment
Difference degree between amount evaluation is weighted summation and obtains；Second difference degree is to evaluate to adjust using history quality
Current composite evaluation of estimate described in factor pair and the history quality of the target network evaluation convergency value between difference degree into
Row quadrature and obtain, the convergency value of the history quality of target network evaluation is by judge that the history quality is evaluated at any time
The variation tendency of passage and obtain.
2. according to the method described in claim 1, the acquisition make it is between the first difference degree and the second difference degree and most
Small current composite evaluation of estimate includes: as the current composite evaluation of estimate of the target network
Following minimum formula is solved by iterative manner to obtain the current composite evaluation of estimate of the target network:
Wherein, K is the set of the user equipment, and O is the set of the target network,It is k-th of user equipment to o-th
The current Quality of target network is evaluated,For the current composite evaluation of estimate of o-th of target network,For o-th of target network
History quality evaluation convergency value, it is describedBy judging the variation tendency of the history quality evaluation over time
And obtain, α is that the history quality of user equipment setting evaluates Dynamic gene, wkFor the evaluation weight of k-th of user equipment, and
It is adjusted after each iteration according to the confidence level of k-th of user equipment, dis (a, b) is difference function, and a and b are described
The substitution variable of difference function, the difference between a and the b is bigger, and dis (a, the b) value is bigger.
3. method according to claim 1 or 2, which is characterized in that described to be obtained at least two user equipmenies respectively
Each user equipment is evaluated at current time for the current Quality of target network, and obtains at least two user respectively
At least two historical junctures of each of equipment user equipment before current time are directed to the history of the target network
Quality evaluation, comprising:
Each of at least two user equipment user equipment is obtained respectively at current time under the target network
Network quality parameters, the network quality parameters are handled with pre-defined algorithm, generate current Quality evaluation；And point
At least two historical junctures of each of at least two user equipment user equipment before current time are not obtained
For the history quality evaluation of the target network.
4. according to the method described in claim 3, it is characterized in that, the network quality parameters include chip energy/interference function
Rate density, received signal code power and/or terminal transmission power.
5. according to claim 1 to 2 described in any item methods, which is characterized in that the method also includes:
Determine that at least two user equipment experiences evaluation of estimate in the rate of the target network；
Rate experience evaluation of estimate is compared with the current composite evaluation of estimate, with to the current composite evaluation of estimate into
Row verifying.
6. according to the method described in claim 5, it is characterized in that, the determination at least two user equipment is in the mesh
The rate for marking network experiences evaluation of estimate, comprising:
It obtains each of at least two user equipment user equipment and uses business datum institute under the target network
The use duration of the flow of generation and the business datum is used according to the flow and using described in duration calculation at least two
Business experience rate of the family equipment under the target network；
The rate, which is obtained, according to the business experience rate experiences evaluation of estimate.
7. a kind of network quality excavated based on confidence level assesses device characterized by comprising
Quality evaluation obtains module, is directed to for obtaining each of at least two users user equipment respectively at current time
The current Quality of target network is evaluated, and obtains each of at least two user equipment user equipment respectively current
At least two historical junctures before moment are evaluated for the history quality of the target network；
Current composite evaluation of estimate obtains module, described in being obtained according to current Quality evaluation with history quality evaluation
The current composite evaluation of estimate of target network；
Wherein, the current composite evaluation of estimate obtains module and is specifically used for: acquisition makes the first difference degree and the second difference degree
Between and the smallest target network current composite evaluation of estimate, wherein first difference degree is to described current
Difference degree between the evaluation of the current Quality of comprehensive evaluation value and each user equipment is weighted summation and obtains
?；Second difference degree is that Dynamic gene is evaluated using history quality to the current composite evaluation of estimate and the target network
Difference degree between the convergency value of the history quality evaluation of network carries out quadrature and obtains, and the history quality of the target network is commented
The convergency value of valence is by judging that the variation tendency of the history quality evaluation over time obtains.
8. device according to claim 7, which is characterized in that the current composite evaluation of estimate obtains module and is specifically used for leading to
It crosses iterative manner and solves following minimum formula to obtain the current composite evaluation of estimate of the target network:
Wherein, K is the set of the user equipment, and O is the set of the target network,It is k-th of user equipment to o-th
The current Quality of target network is evaluated,For the current composite evaluation of estimate of o-th of target network,For o-th of target network
History quality evaluation convergency value, it is describedBy judging the variation tendency of the history quality evaluation over time
And obtain, α is that the history quality of user equipment setting evaluates Dynamic gene, wkFor the evaluation weight of k-th of user equipment, and
It is adjusted after each iteration according to the confidence level of k-th of user equipment, dis (a, b) is difference function, and a and b are described
The substitution variable of difference function, the difference between a and the b is bigger, and dis (a, the b) value is bigger.
9. device according to claim 7 or 8, which is characterized in that the quality evaluation obtains module and is specifically used for:
Each of at least two user equipment user equipment is obtained respectively at current time under the target network
Network quality parameters, the network quality parameters are handled with pre-defined algorithm, generate current Quality evaluation, and point
At least two historical junctures of each of at least two user equipment user equipment before current time are not obtained
For the history quality evaluation of the target network.
10. device according to claim 9, which is characterized in that the network quality parameters include chip energy/interference function
Rate density, received signal code power and terminal transmission power.
11. according to the described in any item devices of claim 7 to 8, which is characterized in that described device further include:
Authentication module, for determining that at least two user equipment experiences evaluation of estimate in the rate of the target network；
Comparison module, for rate experience evaluation of estimate to be compared with the current composite evaluation of estimate, to work as to described
Preceding comprehensive evaluation value is verified.
12. device according to claim 11, it is characterised in that:
The authentication module is specifically used for obtaining each of at least two user equipment user equipment in the target
Using flow caused by business datum and the use duration of the business datum under network, when according to the flow and using
The long business experience rate for calculating at least two user equipment under the target network；And according to the business experience speed
Rate obtains the rate and experiences evaluation of estimate.
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| WO2019153337A1 (en) * | 2018-02-12 | 2019-08-15 | 深圳前海达闼云端智能科技有限公司 | Network quality evaluation method and apparatus, network detection device, and readable storage medium |
| CN109412892B (en) * | 2018-10-23 | 2022-03-01 | 株洲中车时代电气股份有限公司 | Network communication quality evaluation system and method |
| CN111586808A (en) * | 2020-05-29 | 2020-08-25 | Oppo广东移动通信有限公司 | Network access method, terminal equipment and storage medium |
| CN112367493B (en) * | 2021-01-14 | 2021-06-01 | 游密科技(深圳)有限公司 | Data transmission control method, device, mobile terminal and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1901729A (en) * | 2006-07-26 | 2007-01-24 | 华为技术有限公司 | Statistic method for communication service quality and its system terminal |
| CN101466098A (en) * | 2009-01-21 | 2009-06-24 | 中国人民解放军信息工程大学 | Method, device and communication system for evaluating network trust degree |
| JP2011085970A (en) * | 2009-10-13 | 2011-04-28 | Nippon Steel Corp | Quality prediction device, quality prediction method, program and computer-readable recording medium |
| CN103281370A (en) * | 2013-05-23 | 2013-09-04 | 杭州信杨通信技术有限公司 | Method for evaluating QOIS (Quality of Internet Service) of broadband network |
-
2014
- 2014-03-17 CN CN201410099089.1A patent/CN104935446B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1901729A (en) * | 2006-07-26 | 2007-01-24 | 华为技术有限公司 | Statistic method for communication service quality and its system terminal |
| CN101466098A (en) * | 2009-01-21 | 2009-06-24 | 中国人民解放军信息工程大学 | Method, device and communication system for evaluating network trust degree |
| JP2011085970A (en) * | 2009-10-13 | 2011-04-28 | Nippon Steel Corp | Quality prediction device, quality prediction method, program and computer-readable recording medium |
| CN103281370A (en) * | 2013-05-23 | 2013-09-04 | 杭州信杨通信技术有限公司 | Method for evaluating QOIS (Quality of Internet Service) of broadband network |
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